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huggingface
The Hugging Face course on Transformers
changed in chapter-6/7.md as seen. where we can observe in the Unigram session. where P is 17. but it was mentioned as 5 in the formula. https://huggingface.co/learn/nlp-course/chapter6/7?fw=pt . the following...
Often when we study in Hugging Face Learn courses I feel the need to highlight/underline important sentences so that come next time I revise it becomes easy to recollect concepts....
 There might be a small issue: in the example "thug", the given merge rules will first result in "u" and "g" being merged, but then it should be "h"...
Code mentioned in the content is source .env/bin/deactivate which should be just otherwise it won't work in the tutorial source deactivate
As observed in the given example problem, the vocabulary frequency numbers are different and the updated answer doesn't match with the actual answer. Vocabulary - ("h", 15) ("u", 36) ("g",...
https://github.com/huggingface/notebooks/blob/c8661116dec0715145df4a4ec8f32379a7c8b8a1/course/fr/chapter1/section3.ipynb#L141 https://discuss.huggingface.co/t/dead-link-in-notebook/49792
Add "index" key to the code. It was missing in the code even though the print outputs showed the "index" key.
The comment "This approach isn’t perfect either. Since the representation is now based on characters rather than words, one could argue that, intuitively, it’s less meaningful: each character doesn’t mean...
Hi there 👋 Let's review the `zh-CN` translation of the course, so that the whole community can benefit from this resource 🌎! As well as fix: #118 ;-D Below are...
